Topic: "ml-physics"
friedmanroy/HI-generation
Implementation of HIGlow - a conditional normalizing flow model for HI CAMELS simulation data - in PyTorch. This is based on the NeurIPS workshop paper: https://arxiv.org/abs/2211.12724
Language: Jupyter Notebook - Size: 8.63 MB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 2 - Forks: 0
nguyenthiennhan444/Cosmic-Classifier
This notebook implements a structured machine learning pipeline to classify cosmic data using the CatBoost Classifier, known for its efficiency with categorical features and minimal preprocessing requirements.
Language: Jupyter Notebook - Size: 2.92 MB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0
pacocp/deep-learning-UHECR-PMT-signals
Deep learning to classify ultra-high-energy cosmic rays by means of PMT signals - Neural Computing and Applications
Language: Python - Size: 17.6 KB - Last synced at: 10 months ago - Pushed at: about 3 years ago - Stars: 0 - Forks: 1
